Denoising Electromagnatic Surveys Using LSTMs

2022 7th International Conference on Data Science and Machine Learning Applications (CDMA)(2022)

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摘要
Resistivity readings obtained from electromagnetic crosswell surveys provide insight for reservoir water saturation prediction. Although high resistivity values should map to low water saturation and vice versa, in many cases the readings may not be consistent with this correlation. This is due to factors that add noise to the resistivity reading, such as the borehole effect and the salinity of th...
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关键词
LSTM,neural network,denoising,reservoir,electromagnetic,enhancement
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